Category: CSEE

  • 🗣 talk: Addressing Real-world Societal Challenges: Advanced Game-Theoretic Models and Algorithms 3/29

      Addressing Real-world Societal Challenges: Advanced Game-Theoretic Models and Algorithms   Dr. Thanh H. Nguyen, University of Michigan 1:15-2:15 Thursday, 29 March 2018, ITE 325, UMBC This talk will cover my research in AI, with a focus on Multi-Agent Systems, for solving real-world societal problems, particularly in the areas of Sustainability, Public Safety and Security,…

  • 🗣️ talk: Challenges and pitfalls in big data analysis

    CHMPR Distinguished Lecture Challenges and pitfalls in big data analysis Yoav Benjamini, Tel Aviv University 3:30-5:00 Thursday, 12 April 2018, ITE 325b, UMBC I shall warn about the pitfalls resulting from the false assurance that “we have all data at hand”, and discuss the challenges that are not commonly recognised such as the validity and…

  • 🤝Women Data Scientists in Baltimore Meetup: Get started in Data Science, 3/31

    By Fourandsixty (Own work) [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons The Women Data Scientists in Baltimore Meetup will hold its first meeting this month, featuring a talk by Patty Stanton of the Social Security Administration on how to get started in the field of data science. Men are also welcome at this event. More information…

  • 🗣️talk: Computer Vision for Autonomous Underwater Vehicles, 11am Mon 3/12

    Computer Vision for Autonomous Underwater Vehicles Dr. David Chapman, Oceaneering International 11:00-12:00 Monday March 12, 2018, ITE 325, UMBC Autonomous Underwater Vehicles (AUVs) are unmanned and unteathered submarine vehicles with a variety of applications from bathymetry survey to naval warfare. Attenuation and scattering of light and electromagnetic radiation through water severely restricts wireless communications as…

  • talk: Creating Educational Cybersecurity Assessment Tools, 12pm Fri 3/9

    The UMBC Cyber Defense Lab presents    Creating Educational Cybersecurity Assessment Tools Alan T. Sherman Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County 12:00–1:00pm Friday, March 9, 2018, ITE 229, UMBC The Cybersecurity Assessment Tools (CATS) Project provides rigorous evidence-based instruments for assessing and evaluating educational practices. The first CAT will…

  • talk: desJardins on Planning and Learning in Complex Stochastic Domains, 1pm fri 3/8

    UMBC ACM Student Chapter Planning and Learning in Complex Stochastic Domains: AMDPs, Option Discovery, Learning Transfer, Language Learning, and More Dr. Marie desJardins, University of Maryland, Baltimore County 1-2pm Friday, March 9th, 2018, ITE 456, UMBC Robots acting in human-scale environments must plan under uncertainty in large state–action spaces and face constantly changing reward functions…

  • Prof. Marie desJardins, new AAAI fellow, advocates for CS education in K–12 schools

    Prof. Marie desJardins, new AAAI fellow, advocates for CS education in K–12 schools Marie desJardins, associate dean of the College of Engineering and Information Technology and professor of computer science, recently wrote a piece for The Baltimore Sun about the importance of computer science education in K–12 schools. She is a leader in the artificial…

  • UMBC Cyber Dawgs Capture The Flag Cybersecurity Competition, Sunday March 11

    UMBC Cyber Dawgs Capture The Flag Cybersecurity Competition The national champion UMBC Cyber Dawgs will hold the second annual computer security Capture The Flag (CTF) competition on Sunday, March 11th from 11am-7pm in the UC Ballroom. This CTF event is a Jeopardy-style competition where teams of four people use their laptops to discover answers to…

  • talk: Circuit Complexity of One-Way Boolean Functions, 12pm Fri 2/23, ITE229

    The UMBC Cyber Defense Lab presents Experimentally Measuring the Circuit Complexity of One-Way Boolean Functions Brian Weber, CSEE, UMBC 12:00–1:00pm, Friday, 23 February 2018, ITE 229 I present preliminary results from an exhaustive search for one-way functions in certain classes of small Boolean functions.   One-way functions are functions that are easy to compute but hard to invert.  They…

  • talk: Semi-supervised Learning for Visual Recognition, 1pm Fri 2/23, ITE325, UMBC

    ACM Faculty Talk Series Semi-supervised Learning for Visual Recognition Dr. Hamed Pirsiavash, Assistant Professor, CSEE 1:00-2:00pm Friday, February 23, 2018, ITE 325, UMBC We are interested in learning representations (features) that are discriminative for semantic image understanding tasks such as object classification, detection, and segmentation in images. A common approach to obtain such features is…